containers-0.1.0.0: Assorted concrete container typesContentsIndex
Data.Map
Portabilityportable
Stabilityprovisional
Maintainerlibraries@haskell.org
Contents
Map type
Operators
Query
Construction
Insertion
Delete/Update
Combine
Union
Difference
Intersection
Traversal
Map
Fold
Conversion
Lists
Ordered lists
Filter
Submap
Indexed
Min/Max
Debugging
Description

An efficient implementation of maps from keys to values (dictionaries).

Since many function names (but not the type name) clash with Prelude names, this module is usually imported qualified, e.g. 

  import Data.Map (Map)
  import qualified Data.Map as Map

The implementation of Map is based on size balanced binary trees (or trees of bounded balance) as described by:

  • Stephen Adams, "Efficient sets: a balancing act", Journal of Functional Programming 3(4):553-562, October 1993, http://www.swiss.ai.mit.edu/~adams/BB.
  • J. Nievergelt and E.M. Reingold, "Binary search trees of bounded balance", SIAM journal of computing 2(1), March 1973.

Note that the implementation is left-biased -- the elements of a first argument are always preferred to the second, for example in union or insert.

Synopsis
data Map k a
(!) :: Ord k => Map k a -> k -> a
(\\) :: Ord k => Map k a -> Map k b -> Map k a
null :: Map k a -> Bool
size :: Map k a -> Int
member :: Ord k => k -> Map k a -> Bool
notMember :: Ord k => k -> Map k a -> Bool
lookup :: (Monad m, Ord k) => k -> Map k a -> m a
findWithDefault :: Ord k => a -> k -> Map k a -> a
empty :: Map k a
singleton :: k -> a -> Map k a
insert :: Ord k => k -> a -> Map k a -> Map k a
insertWith :: Ord k => (a -> a -> a) -> k -> a -> Map k a -> Map k a
insertWithKey :: Ord k => (k -> a -> a -> a) -> k -> a -> Map k a -> Map k a
insertLookupWithKey :: Ord k => (k -> a -> a -> a) -> k -> a -> Map k a -> (Maybe a, Map k a)
insertWith' :: Ord k => (a -> a -> a) -> k -> a -> Map k a -> Map k a
insertWithKey' :: Ord k => (k -> a -> a -> a) -> k -> a -> Map k a -> Map k a
delete :: Ord k => k -> Map k a -> Map k a
adjust :: Ord k => (a -> a) -> k -> Map k a -> Map k a
adjustWithKey :: Ord k => (k -> a -> a) -> k -> Map k a -> Map k a
update :: Ord k => (a -> Maybe a) -> k -> Map k a -> Map k a
updateWithKey :: Ord k => (k -> a -> Maybe a) -> k -> Map k a -> Map k a
updateLookupWithKey :: Ord k => (k -> a -> Maybe a) -> k -> Map k a -> (Maybe a, Map k a)
alter :: Ord k => (Maybe a -> Maybe a) -> k -> Map k a -> Map k a
union :: Ord k => Map k a -> Map k a -> Map k a
unionWith :: Ord k => (a -> a -> a) -> Map k a -> Map k a -> Map k a
unionWithKey :: Ord k => (k -> a -> a -> a) -> Map k a -> Map k a -> Map k a
unions :: Ord k => [Map k a] -> Map k a
unionsWith :: Ord k => (a -> a -> a) -> [Map k a] -> Map k a
difference :: Ord k => Map k a -> Map k b -> Map k a
differenceWith :: Ord k => (a -> b -> Maybe a) -> Map k a -> Map k b -> Map k a
differenceWithKey :: Ord k => (k -> a -> b -> Maybe a) -> Map k a -> Map k b -> Map k a
intersection :: Ord k => Map k a -> Map k b -> Map k a
intersectionWith :: Ord k => (a -> b -> c) -> Map k a -> Map k b -> Map k c
intersectionWithKey :: Ord k => (k -> a -> b -> c) -> Map k a -> Map k b -> Map k c
map :: (a -> b) -> Map k a -> Map k b
mapWithKey :: (k -> a -> b) -> Map k a -> Map k b
mapAccum :: (a -> b -> (a, c)) -> a -> Map k b -> (a, Map k c)
mapAccumWithKey :: (a -> k -> b -> (a, c)) -> a -> Map k b -> (a, Map k c)
mapKeys :: Ord k2 => (k1 -> k2) -> Map k1 a -> Map k2 a
mapKeysWith :: Ord k2 => (a -> a -> a) -> (k1 -> k2) -> Map k1 a -> Map k2 a
mapKeysMonotonic :: (k1 -> k2) -> Map k1 a -> Map k2 a
fold :: (a -> b -> b) -> b -> Map k a -> b
foldWithKey :: (k -> a -> b -> b) -> b -> Map k a -> b
elems :: Map k a -> [a]
keys :: Map k a -> [k]
keysSet :: Map k a -> Set k
assocs :: Map k a -> [(k, a)]
toList :: Map k a -> [(k, a)]
fromList :: Ord k => [(k, a)] -> Map k a
fromListWith :: Ord k => (a -> a -> a) -> [(k, a)] -> Map k a
fromListWithKey :: Ord k => (k -> a -> a -> a) -> [(k, a)] -> Map k a
toAscList :: Map k a -> [(k, a)]
fromAscList :: Eq k => [(k, a)] -> Map k a
fromAscListWith :: Eq k => (a -> a -> a) -> [(k, a)] -> Map k a
fromAscListWithKey :: Eq k => (k -> a -> a -> a) -> [(k, a)] -> Map k a
fromDistinctAscList :: [(k, a)] -> Map k a
filter :: Ord k => (a -> Bool) -> Map k a -> Map k a
filterWithKey :: Ord k => (k -> a -> Bool) -> Map k a -> Map k a
partition :: Ord k => (a -> Bool) -> Map k a -> (Map k a, Map k a)
partitionWithKey :: Ord k => (k -> a -> Bool) -> Map k a -> (Map k a, Map k a)
mapMaybe :: Ord k => (a -> Maybe b) -> Map k a -> Map k b
mapMaybeWithKey :: Ord k => (k -> a -> Maybe b) -> Map k a -> Map k b
mapEither :: Ord k => (a -> Either b c) -> Map k a -> (Map k b, Map k c)
mapEitherWithKey :: Ord k => (k -> a -> Either b c) -> Map k a -> (Map k b, Map k c)
split :: Ord k => k -> Map k a -> (Map k a, Map k a)
splitLookup :: Ord k => k -> Map k a -> (Map k a, Maybe a, Map k a)
isSubmapOf :: (Ord k, Eq a) => Map k a -> Map k a -> Bool
isSubmapOfBy :: Ord k => (a -> b -> Bool) -> Map k a -> Map k b -> Bool
isProperSubmapOf :: (Ord k, Eq a) => Map k a -> Map k a -> Bool
isProperSubmapOfBy :: Ord k => (a -> b -> Bool) -> Map k a -> Map k b -> Bool
lookupIndex :: (Monad m, Ord k) => k -> Map k a -> m Int
findIndex :: Ord k => k -> Map k a -> Int
elemAt :: Int -> Map k a -> (k, a)
updateAt :: (k -> a -> Maybe a) -> Int -> Map k a -> Map k a
deleteAt :: Int -> Map k a -> Map k a
findMin :: Map k a -> (k, a)
findMax :: Map k a -> (k, a)
deleteMin :: Map k a -> Map k a
deleteMax :: Map k a -> Map k a
deleteFindMin :: Map k a -> ((k, a), Map k a)
deleteFindMax :: Map k a -> ((k, a), Map k a)
updateMin :: (a -> Maybe a) -> Map k a -> Map k a
updateMax :: (a -> Maybe a) -> Map k a -> Map k a
updateMinWithKey :: (k -> a -> Maybe a) -> Map k a -> Map k a
updateMaxWithKey :: (k -> a -> Maybe a) -> Map k a -> Map k a
minView :: Monad m => Map k a -> m (a, Map k a)
maxView :: Monad m => Map k a -> m (a, Map k a)
minViewWithKey :: Monad m => Map k a -> m ((k, a), Map k a)
maxViewWithKey :: Monad m => Map k a -> m ((k, a), Map k a)
showTree :: (Show k, Show a) => Map k a -> String
showTreeWith :: (k -> a -> String) -> Bool -> Bool -> Map k a -> String
valid :: Ord k => Map k a -> Bool
Map type
data Map k a
A Map from keys k to values a.
show/hide Instances
Typeable2 Map
Foldable (Map k)
Functor (Map k)
Traversable (Map k)
(Data k, Data a, Ord k) => Data (Map k a)
(Eq k, Eq a) => Eq (Map k a)
Ord k => Monoid (Map k v)
(Ord k, Ord v) => Ord (Map k v)
(Ord k, Read k, Read e) => Read (Map k e)
(Show k, Show a) => Show (Map k a)
Operators
(!) :: Ord k => Map k a -> k -> a
O(log n). Find the value at a key. Calls error when the element can not be found.
(\\) :: Ord k => Map k a -> Map k b -> Map k a
O(n+m). See difference.
Query
null :: Map k a -> Bool
O(1). Is the map empty?
size :: Map k a -> Int
O(1). The number of elements in the map.
member :: Ord k => k -> Map k a -> Bool
O(log n). Is the key a member of the map?
notMember :: Ord k => k -> Map k a -> Bool
O(log n). Is the key not a member of the map?
lookup :: (Monad m, Ord k) => k -> Map k a -> m a

O(log n). Lookup the value at a key in the map.

The function will return the result in the monad or fail in it the key isn't in the map. Often, the monad to use is Maybe, so you get either (Just result) or Nothing.

findWithDefault :: Ord k => a -> k -> Map k a -> a
O(log n). The expression (findWithDefault def k map) returns the value at key k or returns def when the key is not in the map.
Construction
empty :: Map k a
O(1). The empty map.
singleton :: k -> a -> Map k a
O(1). A map with a single element.
Insertion
insert :: Ord k => k -> a -> Map k a -> Map k a
O(log n). Insert a new key and value in the map. If the key is already present in the map, the associated value is replaced with the supplied value, i.e. insert is equivalent to insertWith const.
insertWith :: Ord k => (a -> a -> a) -> k -> a -> Map k a -> Map k a
O(log n). Insert with a combining function. insertWith f key value mp will insert the pair (key, value) into mp if key does not exist in the map. If the key does exist, the function will insert the pair (key, f new_value old_value).
insertWithKey :: Ord k => (k -> a -> a -> a) -> k -> a -> Map k a -> Map k a
O(log n). Insert with a combining function. insertWithKey f key value mp will insert the pair (key, value) into mp if key does not exist in the map. If the key does exist, the function will insert the pair (key,f key new_value old_value). Note that the key passed to f is the same key passed to insertWithKey.
insertLookupWithKey :: Ord k => (k -> a -> a -> a) -> k -> a -> Map k a -> (Maybe a, Map k a)
O(log n). The expression (insertLookupWithKey f k x map) is a pair where the first element is equal to (lookup k map) and the second element equal to (insertWithKey f k x map).
insertWith' :: Ord k => (a -> a -> a) -> k -> a -> Map k a -> Map k a
Same as insertWith, but the combining function is applied strictly.
insertWithKey' :: Ord k => (k -> a -> a -> a) -> k -> a -> Map k a -> Map k a
Same as insertWithKey, but the combining function is applied strictly.
Delete/Update
delete :: Ord k => k -> Map k a -> Map k a
O(log n). Delete a key and its value from the map. When the key is not a member of the map, the original map is returned.
adjust :: Ord k => (a -> a) -> k -> Map k a -> Map k a
O(log n). Adjust a value at a specific key. When the key is not a member of the map, the original map is returned.
adjustWithKey :: Ord k => (k -> a -> a) -> k -> Map k a -> Map k a
O(log n). Adjust a value at a specific key. When the key is not a member of the map, the original map is returned.
update :: Ord k => (a -> Maybe a) -> k -> Map k a -> Map k a
O(log n). The expression (update f k map) updates the value x at k (if it is in the map). If (f x) is Nothing, the element is deleted. If it is (Just y), the key k is bound to the new value y.
updateWithKey :: Ord k => (k -> a -> Maybe a) -> k -> Map k a -> Map k a
O(log n). The expression (updateWithKey f k map) updates the value x at k (if it is in the map). If (f k x) is Nothing, the element is deleted. If it is (Just y), the key k is bound to the new value y.
updateLookupWithKey :: Ord k => (k -> a -> Maybe a) -> k -> Map k a -> (Maybe a, Map k a)
O(log n). Lookup and update.
alter :: Ord k => (Maybe a -> Maybe a) -> k -> Map k a -> Map k a
O(log n). The expression (alter f k map) alters the value x at k, or absence thereof. alter can be used to insert, delete, or update a value in a Map. In short : lookup k (alter f k m) = f (lookup k m)
Combine
Union
union :: Ord k => Map k a -> Map k a -> Map k a
O(n+m). The expression (union t1 t2) takes the left-biased union of t1 and t2. It prefers t1 when duplicate keys are encountered, i.e. (union == unionWith const). The implementation uses the efficient hedge-union algorithm. Hedge-union is more efficient on (bigset union smallset)
unionWith :: Ord k => (a -> a -> a) -> Map k a -> Map k a -> Map k a
O(n+m). Union with a combining function. The implementation uses the efficient hedge-union algorithm.
unionWithKey :: Ord k => (k -> a -> a -> a) -> Map k a -> Map k a -> Map k a
O(n+m). Union with a combining function. The implementation uses the efficient hedge-union algorithm. Hedge-union is more efficient on (bigset union smallset).
unions :: Ord k => [Map k a] -> Map k a
The union of a list of maps: (unions == foldl union empty).
unionsWith :: Ord k => (a -> a -> a) -> [Map k a] -> Map k a
The union of a list of maps, with a combining operation: (unionsWith f == foldl (unionWith f) empty).
Difference
difference :: Ord k => Map k a -> Map k b -> Map k a
O(n+m). Difference of two maps. The implementation uses an efficient hedge algorithm comparable with hedge-union.
differenceWith :: Ord k => (a -> b -> Maybe a) -> Map k a -> Map k b -> Map k a
O(n+m). Difference with a combining function. The implementation uses an efficient hedge algorithm comparable with hedge-union.
differenceWithKey :: Ord k => (k -> a -> b -> Maybe a) -> Map k a -> Map k b -> Map k a
O(n+m). Difference with a combining function. When two equal keys are encountered, the combining function is applied to the key and both values. If it returns Nothing, the element is discarded (proper set difference). If it returns (Just y), the element is updated with a new value y. The implementation uses an efficient hedge algorithm comparable with hedge-union.
Intersection
intersection :: Ord k => Map k a -> Map k b -> Map k a
O(n+m). Intersection of two maps. The values in the first map are returned, i.e. (intersection m1 m2 == intersectionWith const m1 m2).
intersectionWith :: Ord k => (a -> b -> c) -> Map k a -> Map k b -> Map k c
O(n+m). Intersection with a combining function.
intersectionWithKey :: Ord k => (k -> a -> b -> c) -> Map k a -> Map k b -> Map k c

O(n+m). Intersection with a combining function. Intersection is more efficient on (bigset intersection smallset) intersectionWithKey :: Ord k => (k -> a -> b -> c) -> Map k a -> Map k b -> Map k c intersectionWithKey f Tip t = Tip intersectionWithKey f t Tip = Tip intersectionWithKey f t1 t2 = intersectWithKey f t1 t2

intersectWithKey f Tip t = Tip intersectWithKey f t Tip = Tip intersectWithKey f t (Bin _ kx x l r) = case found of Nothing -> merge tl tr Just y -> join kx (f kx y x) tl tr where (lt,found,gt) = splitLookup kx t tl = intersectWithKey f lt l tr = intersectWithKey f gt r

Traversal
Map
map :: (a -> b) -> Map k a -> Map k b
O(n). Map a function over all values in the map.
mapWithKey :: (k -> a -> b) -> Map k a -> Map k b
O(n). Map a function over all values in the map.
mapAccum :: (a -> b -> (a, c)) -> a -> Map k b -> (a, Map k c)
O(n). The function mapAccum threads an accumulating argument through the map in ascending order of keys.
mapAccumWithKey :: (a -> k -> b -> (a, c)) -> a -> Map k b -> (a, Map k c)
O(n). The function mapAccumWithKey threads an accumulating argument through the map in ascending order of keys.
mapKeys :: Ord k2 => (k1 -> k2) -> Map k1 a -> Map k2 a

O(n*log n). mapKeys f s is the map obtained by applying f to each key of s.

The size of the result may be smaller if f maps two or more distinct keys to the same new key. In this case the value at the smallest of these keys is retained.

mapKeysWith :: Ord k2 => (a -> a -> a) -> (k1 -> k2) -> Map k1 a -> Map k2 a

O(n*log n). mapKeysWith c f s is the map obtained by applying f to each key of s.

The size of the result may be smaller if f maps two or more distinct keys to the same new key. In this case the associated values will be combined using c.

mapKeysMonotonic :: (k1 -> k2) -> Map k1 a -> Map k2 a

O(n). mapKeysMonotonic f s == mapKeys f s, but works only when f is strictly monotonic. The precondition is not checked. Semi-formally, we have: 

 and [x < y ==> f x < f y | x <- ls, y <- ls] 
                     ==> mapKeysMonotonic f s == mapKeys f s
     where ls = keys s
Fold
fold :: (a -> b -> b) -> b -> Map k a -> b

O(n). Fold the values in the map, such that fold f z == foldr f z . elems. For example, 

 elems map = fold (:) [] map
foldWithKey :: (k -> a -> b -> b) -> b -> Map k a -> b

O(n). Fold the keys and values in the map, such that foldWithKey f z == foldr (uncurry f) z . toAscList. For example, 

 keys map = foldWithKey (\k x ks -> k:ks) [] map
Conversion
elems :: Map k a -> [a]
O(n). Return all elements of the map in the ascending order of their keys.
keys :: Map k a -> [k]
O(n). Return all keys of the map in ascending order.
keysSet :: Map k a -> Set k
O(n). The set of all keys of the map.
assocs :: Map k a -> [(k, a)]
O(n). Return all key/value pairs in the map in ascending key order.
Lists
toList :: Map k a -> [(k, a)]
O(n). Convert to a list of key/value pairs.
fromList :: Ord k => [(k, a)] -> Map k a
O(n*log n). Build a map from a list of key/value pairs. See also fromAscList.
fromListWith :: Ord k => (a -> a -> a) -> [(k, a)] -> Map k a
O(n*log n). Build a map from a list of key/value pairs with a combining function. See also fromAscListWith.
fromListWithKey :: Ord k => (k -> a -> a -> a) -> [(k, a)] -> Map k a
O(n*log n). Build a map from a list of key/value pairs with a combining function. See also fromAscListWithKey.
Ordered lists
toAscList :: Map k a -> [(k, a)]
O(n). Convert to an ascending list.
fromAscList :: Eq k => [(k, a)] -> Map k a
O(n). Build a map from an ascending list in linear time. The precondition (input list is ascending) is not checked.
fromAscListWith :: Eq k => (a -> a -> a) -> [(k, a)] -> Map k a
O(n). Build a map from an ascending list in linear time with a combining function for equal keys. The precondition (input list is ascending) is not checked.
fromAscListWithKey :: Eq k => (k -> a -> a -> a) -> [(k, a)] -> Map k a
O(n). Build a map from an ascending list in linear time with a combining function for equal keys. The precondition (input list is ascending) is not checked.
fromDistinctAscList :: [(k, a)] -> Map k a
O(n). Build a map from an ascending list of distinct elements in linear time. The precondition is not checked.
Filter
filter :: Ord k => (a -> Bool) -> Map k a -> Map k a
O(n). Filter all values that satisfy the predicate.
filterWithKey :: Ord k => (k -> a -> Bool) -> Map k a -> Map k a
O(n). Filter all keys/values that satisfy the predicate.
partition :: Ord k => (a -> Bool) -> Map k a -> (Map k a, Map k a)
O(n). partition the map according to a predicate. The first map contains all elements that satisfy the predicate, the second all elements that fail the predicate. See also split.
partitionWithKey :: Ord k => (k -> a -> Bool) -> Map k a -> (Map k a, Map k a)
O(n). partition the map according to a predicate. The first map contains all elements that satisfy the predicate, the second all elements that fail the predicate. See also split.
mapMaybe :: Ord k => (a -> Maybe b) -> Map k a -> Map k b
O(n). Map values and collect the Just results.
mapMaybeWithKey :: Ord k => (k -> a -> Maybe b) -> Map k a -> Map k b
O(n). Map keys/values and collect the Just results.
mapEither :: Ord k => (a -> Either b c) -> Map k a -> (Map k b, Map k c)
O(n). Map values and separate the Left and Right results.
mapEitherWithKey :: Ord k => (k -> a -> Either b c) -> Map k a -> (Map k b, Map k c)
O(n). Map keys/values and separate the Left and Right results.
split :: Ord k => k -> Map k a -> (Map k a, Map k a)
O(log n). The expression (split k map) is a pair (map1,map2) where the keys in map1 are smaller than k and the keys in map2 larger than k. Any key equal to k is found in neither map1 nor map2.
splitLookup :: Ord k => k -> Map k a -> (Map k a, Maybe a, Map k a)
O(log n). The expression (splitLookup k map) splits a map just like split but also returns lookup k map.
Submap
isSubmapOf :: (Ord k, Eq a) => Map k a -> Map k a -> Bool
O(n+m). This function is defined as (isSubmapOf = isSubmapOfBy (==)).
isSubmapOfBy :: Ord k => (a -> b -> Bool) -> Map k a -> Map k b -> Bool

O(n+m). The expression (isSubmapOfBy f t1 t2) returns True if all keys in t1 are in tree t2, and when f returns True when applied to their respective values. For example, the following expressions are all True: 

 isSubmapOfBy (==) (fromList [('a',1)]) (fromList [('a',1),('b',2)])
 isSubmapOfBy (<=) (fromList [('a',1)]) (fromList [('a',1),('b',2)])
 isSubmapOfBy (==) (fromList [('a',1),('b',2)]) (fromList [('a',1),('b',2)])

But the following are all False: 

 isSubmapOfBy (==) (fromList [('a',2)]) (fromList [('a',1),('b',2)])
 isSubmapOfBy (<)  (fromList [('a',1)]) (fromList [('a',1),('b',2)])
 isSubmapOfBy (==) (fromList [('a',1),('b',2)]) (fromList [('a',1)])
isProperSubmapOf :: (Ord k, Eq a) => Map k a -> Map k a -> Bool
O(n+m). Is this a proper submap? (ie. a submap but not equal). Defined as (isProperSubmapOf = isProperSubmapOfBy (==)).
isProperSubmapOfBy :: Ord k => (a -> b -> Bool) -> Map k a -> Map k b -> Bool

O(n+m). Is this a proper submap? (ie. a submap but not equal). The expression (isProperSubmapOfBy f m1 m2) returns True when m1 and m2 are not equal, all keys in m1 are in m2, and when f returns True when applied to their respective values. For example, the following expressions are all True: 

 isProperSubmapOfBy (==) (fromList [(1,1)]) (fromList [(1,1),(2,2)])
 isProperSubmapOfBy (<=) (fromList [(1,1)]) (fromList [(1,1),(2,2)])

But the following are all False: 

 isProperSubmapOfBy (==) (fromList [(1,1),(2,2)]) (fromList [(1,1),(2,2)])
 isProperSubmapOfBy (==) (fromList [(1,1),(2,2)]) (fromList [(1,1)])
 isProperSubmapOfBy (<)  (fromList [(1,1)])       (fromList [(1,1),(2,2)])
Indexed
lookupIndex :: (Monad m, Ord k) => k -> Map k a -> m Int
O(log n). Lookup the index of a key. The index is a number from 0 up to, but not including, the size of the map.
findIndex :: Ord k => k -> Map k a -> Int
O(log n). Return the index of a key. The index is a number from 0 up to, but not including, the size of the map. Calls error when the key is not a member of the map.
elemAt :: Int -> Map k a -> (k, a)
O(log n). Retrieve an element by index. Calls error when an invalid index is used.
updateAt :: (k -> a -> Maybe a) -> Int -> Map k a -> Map k a
O(log n). Update the element at index. Calls error when an invalid index is used.
deleteAt :: Int -> Map k a -> Map k a
O(log n). Delete the element at index. Defined as (deleteAt i map = updateAt (k x -> Nothing) i map).
Min/Max
findMin :: Map k a -> (k, a)
O(log n). The minimal key of the map.
findMax :: Map k a -> (k, a)
O(log n). The maximal key of the map.
deleteMin :: Map k a -> Map k a
O(log n). Delete the minimal key.
deleteMax :: Map k a -> Map k a
O(log n). Delete the maximal key.
deleteFindMin :: Map k a -> ((k, a), Map k a)
O(log n). Delete and find the minimal element.
deleteFindMax :: Map k a -> ((k, a), Map k a)
O(log n). Delete and find the maximal element.
updateMin :: (a -> Maybe a) -> Map k a -> Map k a
O(log n). Update the value at the minimal key.
updateMax :: (a -> Maybe a) -> Map k a -> Map k a
O(log n). Update the value at the maximal key.
updateMinWithKey :: (k -> a -> Maybe a) -> Map k a -> Map k a
O(log n). Update the value at the minimal key.
updateMaxWithKey :: (k -> a -> Maybe a) -> Map k a -> Map k a
O(log n). Update the value at the maximal key.
minView :: Monad m => Map k a -> m (a, Map k a)
O(log n). Retrieves the minimal key's value of the map, and the map stripped from that element fails (in the monad) when passed an empty map.
maxView :: Monad m => Map k a -> m (a, Map k a)
O(log n). Retrieves the maximal key's value of the map, and the map stripped from that element fails (in the monad) when passed an empty map.
minViewWithKey :: Monad m => Map k a -> m ((k, a), Map k a)
O(log n). Retrieves the minimal (key,value) pair of the map, and the map stripped from that element fails (in the monad) when passed an empty map.
maxViewWithKey :: Monad m => Map k a -> m ((k, a), Map k a)
O(log n). Retrieves the maximal (key,value) pair of the map, and the map stripped from that element fails (in the monad) when passed an empty map.
Debugging
showTree :: (Show k, Show a) => Map k a -> String
O(n). Show the tree that implements the map. The tree is shown in a compressed, hanging format.
showTreeWith :: (k -> a -> String) -> Bool -> Bool -> Map k a -> String

O(n). The expression (showTreeWith showelem hang wide map) shows the tree that implements the map. Elements are shown using the showElem function. If hang is True, a hanging tree is shown otherwise a rotated tree is shown. If wide is True, an extra wide version is shown. 

  Map> let t = fromDistinctAscList [(x,()) | x <- [1..5]]
  Map> putStrLn $ showTreeWith (\k x -> show (k,x)) True False t
  (4,())
  +--(2,())
  |  +--(1,())
  |  +--(3,())
  +--(5,())

  Map> putStrLn $ showTreeWith (\k x -> show (k,x)) True True t
  (4,())
  |
  +--(2,())
  |  |
  |  +--(1,())
  |  |
  |  +--(3,())
  |
  +--(5,())

  Map> putStrLn $ showTreeWith (\k x -> show (k,x)) False True t
  +--(5,())
  |
  (4,())
  |
  |  +--(3,())
  |  |
  +--(2,())
     |
     +--(1,())
valid :: Ord k => Map k a -> Bool
O(n). Test if the internal map structure is valid.
Produced by Haddock version 0.8